Which of the following metrics is often used to measure RPA success?

Measuring the success of Robotic Process Automation (RPA) primarily involves assessing efficiency improvements brought about by the implementation of RPA tools. The time taken to complete tasks is a key metric because one of the main goals of RPA is to streamline processes and reduce the time required for repetitive, manual tasks. By tracking how long tasks took before and after RPA deployment, organizations can quantify the direct impact of automation on productivity. A decrease in task completion time often translates into cost savings, increased capacity for higher value work, and overall enhanced operational performance, making this metric a crucial indicator of RPA success.

Other options, while they may relate to different aspects of the business, do not directly measure the effectiveness of RPA initiatives. The number of stakeholders involved is more about project governance rather than the performance outcomes of RPA. Visual design quality pertains to the user interface and user experience aspects, which do not directly affect the process efficiencies achieved through automation. Employee turnover rate is an important metric for workforce management but does not specifically reflect the success of RPA, as RPA can sometimes lead to job displacement or reallocation rather than direct employee engagement issues.